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Streaming media video compression method based on inter-frame correlation

A technology of video compression and correlation, applied in the fields of digital video signal modification, selective content distribution, electrical components, etc., can solve the problems of high complexity, data signal redundancy, low efficiency, etc.

Inactive Publication Date: 2019-01-01
ZHEJIANG SHUREN UNIV
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Problems solved by technology

However, for high-resolution digital images and streaming video data, this signal processing method of sampling first and then compressing will cause low efficiency, great waste of resources and high complexity; at the same time, due to this sampling method Only using the assumption that the signal has a limited bandwidth, without using any other prior knowledge, will cause a great degree of redundancy in the collected data signals

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  • Streaming media video compression method based on inter-frame correlation
  • Streaming media video compression method based on inter-frame correlation
  • Streaming media video compression method based on inter-frame correlation

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Embodiment Construction

[0097] The present invention will be further described below in conjunction with the accompanying drawings.

[0098] refer to Figure 1 to Figure 4 , a kind of streaming video compression method based on interframe correlation, comprises the following steps:

[0099] The first step is video compression perception coding based on bidirectional prediction, the process is as follows:

[0100] On the video encoding side, the inter-frame correlation and intra-frame correlation of the video are introduced, so as to allocate a reasonable sampling rate for the block image of the non-reference frame;

[0101] First, use the same projection matrix to obtain the measurement vectors of the corresponding image blocks of the reference frame and the non-reference frame, and divide the image blocks into three types according to their energy difference values: basically unchanged blocks, slow changing blocks and fast changing blocks;

[0102] Secondly, the intra-frame correlation is used to ...

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Abstract

The invention relates to a streaming media video compression method based on inter-frame correlation. The method comprises: step one, video compressive sensing coding based on bidirectional predictionis carried out; to be specific, front-rear inter-frame correlation and intra-frame correlation are introduced in a video coding end and are used as sampling rates of non-reference-frame block image reasonable allocation; measurement vectors of corresponding image blocks of the reference frame and the non-reference frame are obtained by using a same projection matrix and the image blocks are classified into three classes based energy difference values: a basic invariant block class, a slowly changing block class and a fast changing block class; a preliminary classification result is correctedby using the intra-frame correlation; and then a final classification result is obtained, different sampling rates are allocated to different classes of image blocks to carry out sampling, and the measurement vector point number of the current image block is adaptively adjusted to obtain a measurement vector. Therefore, the classification accuracy is improved.

Description

technical field [0001] The invention relates to the field of real-time video compression sensing, in particular to a streaming media video compression method based on inter-frame correlation. Background technique [0002] With the rapid development of information and communication technology, the 21st century has entered the information age, and the network has changed from the earliest transmission of information carriers such as text and pictures to the current form of dissemination of 3D animation and online video. The multimediaization of network services has led to the emergence of various multimedia applications and entered all aspects of people's lives, such as real-time video streaming services, online games, remote video monitoring, smart medical care, smart transportation, smart communities, etc. People are increasingly inseparable from various network devices in their daily life and work, a large amount of data is pouring into people's lives, and various multimedi...

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Application Information

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IPC IPC(8): H04N19/132H04N19/176H04N19/42H04N19/587H04N21/2343H04N21/4402
CPCH04N19/132H04N19/176H04N19/42H04N19/587H04N21/2343H04N21/4402
Inventor 蒋维周莹陈秋霞任条娟曹瑶爽
Owner ZHEJIANG SHUREN UNIV
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